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Tinder now asks users if they really want to send offensive message

Tinder now asks users if they really want to send offensive message

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Tinder has introduced a new safety feature that aims to reduce the hateful messages sent on its dating platform. The company now uses AI to detect the offensive language in messages and print asks users if they really want to send that message. Tinder calls this feature Are You Sure? (AYS?).

Tinder’s AI is based on messages reported by users for offensive language in the past. The company will continue to train its AI to improve this feature. The addition of this feature is a good idea. Instead of waiting for a user to report an incident, it is better to detect it early and try to avoid it by warning the user.

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The company claims that early results of this feature were good and users who saw the prompt were less likely to be reported for inappropriate messages. It shows that the feature is doing well.

“The early results from these features show us that intervention done the right way can be really meaningful in changing behavior and building a community where everyone feels like they can be themselves,” said Tracey Breeden, Head of Safety and Social Advocacy for Match Group.

Back in 2019, Instagram also added a similar warning for potentially offensive captions. Instagram also hides comments that it things are offensive. Now it has improved the same AI to block words that might be purposely misspelled to avoid detection. Tinder isn’t blocking the message but showing a warning and asking users to reconsider.

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Deepanker Verma

About the Author: Deepanker Verma

Deepanker Verma is the Founder and Editor-in-Chief of TechloMedia. He holds Engineering degree in Computer Science and has over 15 years of experience in the technology sector. Deepanker bridges the gap between complex engineering and consumer electronics. He is also a a known Security Researcher acknowledged by global giants including Apple, Microsoft, and eBay. He uses his technical background to rigorously test gadgets, focusing on performance, security, and long-term value.

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